## Multiple Regressions Analysis

Working on stats project andneed assistance with understanding the data.
Would it be more appropriate if I changed my values for my positions? What isthe process of determining the position value?
Needing assisting in understanding the regressions summary related to the data.
I thought I was getting this until I started on this project and applying thisto data without text assistance it’s much different.

 Salaries Position Age Position Table $27,849,000.00 4 34 Centers 1$ 21,459,805.00 4 28 Point Guards 2 $20,907,128.00 5 34 Small Forward 3$ 20,807,922.00 2 30 Shooting Guards 4 $19,948,799.00 5 30 Power Forwards 5$ 19,752,645.00 4 31 $19,450,000.00 3 28$ 19,261,200.00 5 26 $19,000,000.00 5 32$ 18,160,354.00 5 33 $17,779,457.00 2 27$ 17,548,838.00 3 24 $17,545,000.00 3 27$ 17,545,000.00 5 28 $17,177,795.00 2 28$ 17,024,000.00 4 30 $16,790,345.00 3 36$ 16,500,000.00 5 31 $16,473,002.00 1 24$ 16,460,532.00 3 26 $16,402,500.00 2 24$ 15,052,181.00 3 33 $15,000,000.00 5 27$ 15,000,000.00 5 30 $14,850,000.00 2 33$ 14,718,250.00 4 28 $14,107,492.00 4 35$ 13,891,359.00 1 27 $13,668,750.00 4 23$ 13,668,750.00 1 24
 SUMMARY OUTPUT Regression Statistics Multiple R 0.35 R Square 0.12 Adjusted R Square 0.06 Standard Error 2901128.01 Observations 30 ANOVA df SS MS F Significance F Regression 2 3.10985E+13 1.55493E+13 1.85 0.18 Residual 27 2.27247E+14 8.41654E+12 Total 29 2.58345E+14 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 10436430.98 4365568.59 2.39 0.02 1479024.13 19393837.84 1479024.13 19393837.84 Position 402432.38 426893.38 0.94 0.35 -473480.49 1278345.25 -473480.49 1278345.25 Age 193862.46 160346.86 1.21 0.24 -135142.12 522867.05 -135142.12 522867.05

Thanks,
Dottie